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LisaA Marsch

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#artificial intelligence Mar 2026

Learning Transferable Sensor Models via Language-Informed Pretraining

SLIP (Sensor Language-Informed Pretraining), an open-source framework for learning language-aligned representations that generalize across diverse sensor setups, is introduced, offering broad implications for the development of sensor-language models.

Yu-Liang Chen, Arvind Pillai, Y. Wu et al. · arXiv.org · 5 citations · ⚡2

#artificial intelligence Preprint Sep 2026

TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models

TimeThink, a synthetic framework for eliciting compositional timeseries reasoning that employs a reinforcement learning with verifiable rewards (RLVR) training strategy that encourages explicit reasoning, significantly outperforms strong baselines on both synthetic and real-world benchmarks.

Sudarshan Regmi, Arvind Pillai, Y. Wu et al. · 0 citations